1959/10/31 by Richard L. Taylor, R. L. Taylor, C. D. B. Bentley +10
Computer Science · Engineering · Materials Science · Physics and Astronomy · #Computational science #Computer engineering #Computer science #Construct (python library) #Dephasing #Deuterium #Engineering #Environmental science #Fidelity #Graphite, nuclear technology, radiation studies #Heavy water #High fidelity #Natural uranium #Nuclear Materials and Properties #Nuclear engineering #Nuclear physics #Nuclear reactor physics and engineering #Physics #Quantum #Quantum Computing Algorithms and Architecture #Quantum Information and Cryptography #Quantum and electron transport phenomena #Quantum computer #Quantum gate #Quantum mechanics #Scalability #Scale (ratio) #Telecommunications #Uranium #Waste management #quant-ph
paper · pdf · doi:10.1038/srep46197
published as Scientific Reports 7, 46197 (2017) · 10 pages, 4 figures
openalex publication_date 1959/10/31 · openalex created_date 2016/06/24 · arxiv created 2017/04/30 · arxiv updated 2017/05/02 · openalex updated_date 2026/06/19
Large-scale digital quantum simulations require thousands of fundamental entangling gates to construct the simulated dynamics. Despite success in a variety of small-scale simulations, quantum information processing platforms have hitherto failed to demonstrate the combination of precise control and scalability required to systematically outmatch classical simulators. We analyse how fast gates could enable trapped-ion quantum processors to achieve the requisite scalability to outperform classical computers without error correction. We analyze the performance of a large-scale digital simulator, and find that fidelity of around 70% is realizable for π-pulse infidelities below 10<sup>-5</sup> in traps subject to realistic rates of heating and dephasing. This scalability relies on fast gates: entangling gates faster than the trap period.